ICAR Research Data Repository for Knowledge Management
A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data
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View Archive Info| Field | Value | |
| Title |
A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data
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| Creator |
Woodard, J.D.
Shee, Apurba Mude, Andrew G. |
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| Subject |
INSURANCE
RESILIENCE DROUGHT PASTORALISM |
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| Description |
Index-Based Livestock Insurance has emerged as a promising market-based solution for insuring livestock against drought-related mortality. The objective of this work is to develop an explicit spatial econometric framework to estimate insurable indexes that can be integrated within a general insurance pricing framework. We explore the problem of estimating spatial panel models when there are missing dependent variable observations and cross-sectional dependence, and implement an estimable procedure which employs an iterative method. We also develop an out-of-sample efficient cross-validation mixing method to optimise the degree of index aggregation in the context of spatial index models.
Peer Review |
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| Date |
2016-09-02T12:04:06Z
2016-09-02T12:04:06Z 2016-04-15 |
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| Type |
Journal Article
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| Identifier |
Woodard, J., Shee, A. and Mude, A. 2016. A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data. Geneva Papers on Risk and Insurance – Issues and Practice, 41(2):259-279
1468-0440 https://hdl.handle.net/10568/76923 |
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| Language |
en
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| Format |
image/jpeg
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| Source |
Geneva Papers on Risk and Insurance – Issues and Practice
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